Senior-Data AnalysisAT&T Inc. - Dallas, TX
Create and build the data infrastructure as defined by the architect. Wrangle, collect, manipulate, cleanse, structure, and make data available for analysis. Join, normalize, aggregate and transform data from raw to consumable. Work with structured and unstructered data sources. Skill Set: SQL and other DB solutions, Data warehousing and ETL tools, Hadoop based analytics
Responsible for analyzing data in response to new business requests, performing maintenance and changes on interfaces, and identifying and resolving data discrepancies across multiple business applications.
Key Roles and Responsibilities: Works directly with the client user community and business analysts to define and document data requirements for data integration and business intelligence applications. Determines and documents data mapping rules for movement of medium to high complexity data between applications. Adheres to and promotes the use of data administration standards. Supports data selection, extraction, and cleansing for corporate applications, including data warehouse and data marts. Creates and sustains processes, tools, and on-going support structures and processes. Extracts and analyzes data from specific applications, systems and/or databases to create reports and provide recommendations based on the analysis of the data. Investigates and resolves data issues across platforms and applications, including discrepancies of definition, format and function. Creates and populates meta-data into repositories. May create data models, including robust data definitions, which may be entity- relationship-attribute models, star, or dimensional models. May also create data flow diagrams and process models and integrates models across functional areas and platforms. Works closely with DBAs to transition logical models to physical implementation. May be responsible for employing data mining techniques to achieve data synchronization, redundancy elimination, source identification, data reconciliation, and problem root cause analysis. May also be responsible for quality control and auditing of databases, resolving data problems, and analyzing system changes for quality assurance. Job Contribution: Senior level technical expertise. Deep technical knowledge and subject matter expert on ATT technologies. Education: Preferred Bachelors degree in Business, Information Systems, Engineering, Math, or Sciences; Data Analytics nanodegree; or equivalent experience. Experience: Typically requires 5-8 years experience. Technical Career Pathway (TCP) role. Supervisory: No.
Principal Functional Skills / Competencies associated with this Title:
Data Movement Tools
Modeling: Data, Process, Events, Objects
Query and Database Access Tools
Scripting Tools and Languages
System and Technology Integration
Note: Additional skills / competencies may be added to this specific requisition. During the application process, you will be asked to provide your proficiency and experience with all the skills / competencies associated with the requisition.
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Job Code - 49092604
14 days 20 hours ago
applySenior-Data Analysis AT&T Inc. - Dallas, TX, United States
AT&T is bringing it all together for our customers, from revolutionary smartphones to next-generation TV services and sophisticated solutions for multi-national businesses. For more than a century, we have consistently provided innovative, reliable, high-quality products and services and excellent customer care. Today, our mission is to connect people with their world, everywhere they live and work, and do it better than anyone else. We're fulfilling this vision by creating new solutions for consumers and businesses and by driving innovation in the communications and entertainment industry.
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